NVIDIA Corporation

Senior Software Engineer, SRE and Production Engineering - DGX Cloud

NVIDIA Corporation • $152K — $287K *
US-AnywhereRemote in Santa Clara, CA
Telecommunications & Hardware
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5+ years in production infrastructure software development or operations with bare-metal experience.
  • Proficiency in Go or Python, focusing on production automation.
  • Hands-on experience with BMC and Redfish for server management.
  • Direct familiarity with NVIDIA GPUs, specifically NVL72 systems, and BlueField-3 DPUs or later.
  • Strong understanding of Linux, firmware management, and server lifecycle processes.
  • Experience with incident response and production reliability management.
  • Ability to troubleshoot across hardware, operating systems, and networks.

Responsibilities

  • Automate bare-metal provisioning and manage cluster lifecycle processes.
  • Develop tools for hardware health monitoring and recovery workflows.
  • Manage NVIDIA NVL72 systems and BlueField-3 DPUs in cloud and on-prem leadership roles.
  • Diagnose and automate the repair of failures in server and network systems.
  • Define criteria for safe production handoffs of new capacity.
  • Participate in on-call incident response and implement long-term solutions.
  • Collaborate with various teams to resolve cross-boundary issues.

Benefits

  • Equity opportunities in a leading tech firm.
  • Comprehensive benefits package.
  • Exposure to cutting-edge AI infrastructure projects.
Full Job Description
NVIDIA DGX Cloud builds and operates large-scale GPU infrastructure for AI workloads. We are looking for Software Engineers with SRE or Production Engineering experience who have worked hands-on with bare-metal NVIDIA systems. This team builds the software and operational tooling that moves GPU capacity from installed hardware to production service supporting an IaaS production environment of BMaaS, VMaaS.

What you'll be doing
  • Build automation for bare-metal provisioning, hardware validation, firmware and software upgrades, repair, and cluster lifecycle management.
  • Develop tools that interact with BMC and Redfish interfaces to monitor hardware health, manage server state, and assist recovery workflows.
  • Handle and advance NVIDIA NVL72 systems and BlueField-3 or later DPUs throughout cloud partner and on-premises environments.
  • Diagnose failures across servers, DPUs, GPU systems, CPU systems, networking, Linux, and Kubernetes; turn recurring issues into automated detection and repair.
  • Define validation and handoff criteria so new capacity enters production safely and consistently.
  • Take part in on-call duties, incident response, root-cause analysis, and follow-up to implement permanent solutions.
  • Work with hardware, networking, platform, data center operations, and partner teams to resolve issues across ownership boundaries.


What we need to see:
  • 5+ years building software for or operating production infrastructure, including substantial hands-on bare-metal experience.
  • Strong Go or Python skills, with a record of delivering production automation and services.
  • Direct experience with BMC and Redfish in server provisioning, health inspection, power management, or fault diagnosis.
  • Practical experience working directly with NVIDIA GPU hardware, such as NVL72 systems, and BlueField-3 or newer DPUs.
  • Experience with Linux, firmware and driver management, network boot, and the server lifecycle from initial provisioning through repair.
  • Experience managing production reliability through on-call duties, incident response, observability, and durable solutions.
  • Ability to debug failures across hardware, host operating systems, networking, and distributed services.
  • Clear communication and demonstrated ownership of problems that span multiple teams.
  • BS/MS in Computer Science or equivalent experience in a practical setting.


Ways to stand out from the crowd:
  • Experience operating BlueField DPUs in DPU mode, including host-to-DPU connectivity and lifecycle debugging, with DPU or equivalent experience considered.
  • Background with NVLink, InfiniBand, Spectrum-X, or GPU cluster performance validation.
  • Experience building safe, repeatable workflows for rack-scale bringup, firmware upgrades, hardware replacement, and customer handoff.
  • Experience with Kubernetes, GitOps, Argo CD, SLOs, and fleet-wide automation.


At NVIDIA, you'll help make next-generation AI infrastructure production-ready at scale!

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until October 3, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

About NVIDIA Corporation

Nvidia, a global leader in graphics, gaming, and AI technology, offers Nvidia careers and internship opportunities for those passionate about driving innovation in the tech industry. you'll find a company committed to growth, teamwork, and leadership in computer science and machine learning domains.

About Nvidia

A Pioneer in Technology and Innovation

Nvidia has cemented its reputation as a powerhouse in developing advanced graphics processing units (GPUs) and has significantly contributed to the gaming industry's evolution. Moreover, its foray into AI and machine learning has opened new frontiers in technology, making Nvidia a beacon of innovation and a desirable workplace for ambitious tech professionals.

Job Opportunities

Diverse Positions in a Dynamic Field

Nvidia is continuously on the lookout for talented individuals across various domains, including hardware and software engineering, product design, marketing, and sales. Employment opportunities at Nvidia are vast, catering to a wide range of expertise and career aspirations.

Employment in Hardware and Graphics

For those fascinated by the intricacies of hardware and graphics technology, Nvidia offers positions that sit at the forefront of gaming and computing advancements.

Growth in Machine Learning and AI

Nvidia's leadership in AI and machine learning has created numerous vacancies for specialists eager to contribute to groundbreaking projects.

Recruitment in Computer Science

With the constant demand for innovation, Nvidia's recruitment efforts focus on computer science experts capable of pushing the boundaries of what's possible.

Internship Program

Opening Doors to Future Innovators

Nvidia's internship program is designed to nurture the next generation of technology leaders, offering hands-on experience in a culture that celebrates creativity and teamwork.

Benefits and Culture

Interns at Nvidia enjoy a plethora of benefits, from competitive stipends to mentorship opportunities, all within an environment that values growth and learning.

Opportunities for Students

Whether you're an undergraduate, a master's student, or a Ph.D. candidate, Nvidia's internships provide a real-world glimpse into the tech industry, offering valuable experience in various technology fields.

Pathways to Full-Time Employment

Many interns have transitioned into full-time positions, marking the start of successful careers at Nvidia. The internship program is more than a stepping stone into the company; it’s an investment in the professional development of interns. The goal is to ensure that interns are well-equipped for future challenges.

Nvidia Careers: More Than Just a Job

Nvidia offers more than just a job to its employees; it provides a front-row seat on the journey into the future of technology. Nvidia stands as a pillar of innovation with its vast opportunities in hardware, graphics, gaming, machine learning, and computer science. Nvidia careers serve as a launching pad for talented workers who aim to redefine the technological landscape. Whether through full-time positions or internships, joining Nvidia means contributing to a legacy of breakthroughs and becoming part of a global community dedicated to pushing the boundaries of what's possible.
Learn more about NVIDIA Corporation
Size
22,473 employees
Market Cap
$350.4 billion
Industry
Net Income
$4.3 billion
Founded
1993
5 Year Trend
+31.3%
Revenue
$16.6 billion
NASDAQ

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